Course Overview

Domain
Engineering
Format
Short Course
Duration
2 days
Fee Subsidy
Up to 90% SF Funding

Engineering decisions are increasingly being made based on interpretation of large amount of decisions. This two-day interactive workshop will provide participants with the basic knowledge and skills of data analytics.

The workshop will focus on classification techniques to predict categorical and continuous variables. Important issues in classification like under- and overfitting, evaluation of model performance and feature selection will be covered. Hands-on practical will be conducted.

Who Should Attend

  • For general audience with basic understanding of statistics and no background in programming who wants to learn more about data analytics and machine learning
  • For individuals with Engineering background and keen to learn more about how data analytics is used in decision making
Prerequisites
  • Has basic statistics knowledge

What You Will Learn

Multiple Linear Regression

  • Fitting of linear regression model to dependent variable and interpreting model performance using p-value, R-square, adjusted R-square and residuals

Logistic Regression and other classification methods

  • Fitting of logistic regression model to dependent categorical variable and interpreting model performance with the confusion matrix

Issues in Classification

  • Feature normalization, data pre-processing, under- and overfitting, feature selection, regularization and cross-validation

Clustering techniques

  • K-means and hierarchical clustering will be covered

Practical machine learning

  • Using freely available graphical programming software to perform classification and linear regression tasks

Teaching Team

Tan Rui Zhen
Tan Rui Zhen

Assistant Professor, Engineering, Singapore Institute of Technology

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Hoh Hsin Jen
Hoh Hsin Jen

Assistant Professor, Engineering, Singapore Institute of Technology

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Schedule

Time Topic
09:00 - 10:40 Lecture 1: Multiple linear regression
10:40 - 11:00 Break
11:00 - 13:00 Lab 1: Multiple linear regression
13:00 - 14:00 Lunch
14:00 - 15:40 Lecture 2: Logistic regression
15:40 - 16:00 Break
16:00 - 17:30 Lab 2: Logistic regression
17:30 - 18:00 Wrap up
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Time Topic
09:00 - 10:40 Lecture 3: Model selection
10:40 - 11:00 Break
11:00 - 13:00 Lab 3: Model Selection
13:00 - 14:00 Lunch
14:00 - 15:10 Lecture 4: Clustering
15:10 - 15:30 Break
15:30 - 17:00 Lab 4: Clustering
17:00 - 18:00 Quiz
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Certificate and Assessment

A Certificate of Participation will be issued to participants who: 

  • Attend 75% of the workshop; and
  • Undertake and pass non-credit bearing assessment (during course)

Fee Structure

The full fee for this course is S$1,962.00.

Category After SF Funding
Singapore Citizen (Below 40) S$588.60
Singapore Citizen (40 & Above) S$228.60
Singapore PR / LTVP+ Holder S$588.60
Non-Singapore Citizen S$1,962.00 (No Funding)


Note: All fees above include GST. GST applies to individuals and Singapore-registered companies.

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Funding
Learn more about funding schemes available
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Learn for Life
The Learn for Life token may be used for this course

Course Runs

There are no upcoming course runs at the moment.

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